The Role of Coopetition in Fostering Innovation and Growth in New Technology-based Firms: A Game Theory Approach
Bibliographic record
Abstract
Objective: New technology-based firms (NTBFs) are key actors in creating value through innovation, but they face significant challenges in the rapidly changing and competitive technological environment. Methods: This research is a multi-method analysis aiming to present a model of relationships among drivers for collaboration and competition among technology-based companies and identify effective actions and policies to enhance coopetition (cooperation and competition) that can boost the ability of NTBFs to grow and commercialize innovations. The methodology of this study is exploratory in nature. Thus, it employs literature review method for gathering qualitative data, Fuzzy Delphi method for collecting data from experts, and DEMATEL-ISM method for modeling the relationships among drivers and demonstrating the impact of coopetition on the performance of NTBFs. Results: The research findings show that coopetition can improve growth, innovation, and commercialization in NTBFs by overcoming technological and competitive limitations. Conclusions: The study offers practical and social implications for managers, policy makers, and economic development by highlighting the role of coopetition in fostering innovation and prosperity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".